Issue #1 :: 2024-01-09
Developing a search application encompasses a wide spectrum of challenges, from mastering search algorithm principles to enhancing user interaction and interface design. This process extends beyond mere technical aspects, involving a deep dive into a range of interconnected topics.
This newsletter aims to serve as a comprehensive resource for professionals in the search application field. Whether you're seeking to stay abreast of the latest developments or revisiting fundamental concepts, this publication has you covered.
In essence, this newsletter aspires to be the resource I've always wished for: a regular update that not only highlights key events and advancements but also offers insights into ongoing progress and timeless content within the search domain.
What does this issue offer to you?
- The Power of Effective 'No Results' Pages in E-Commerce
- 5 Takeaways From the World’s Largest Generative AI Study
- How to Effectively Evaluate Your RAG + LLM Applications
- Understanding the difference between OpenSearch and Elasticsearch
Additionally, you will find information on upcoming search-related conferences and the latest search engine releases.
Essential Reads
The Power of Effective 'No Results' Pages in E-Commerce
Baymard.com notes that numerous e-commerce platforms overlook the importance of effective 'No Results' pages, a misstep that can leave users feeling lost. Crafting a 'No Results' page that guides users towards potential solutions can transform a potentially frustrating experience into a constructive interaction.
5 Takeaways From the World’s Largest Generative AI Study
The largest study on Generative AI (GenAI) reveals key findings: 93% of companies plan to increase AI investment, with tech, consumer products, and real estate leading.
How to Effectively Evaluate Your RAG + LLM Applications
This article discusses the advancement in AI through the combination of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
Understanding the difference between OpenSearch and Elasticsearch
OpenSearch and Elasticsearch, both rooted in Apache Lucene, diverge in licensing and functionalities. Elasticsearch, part of the ELK stack, shifted to a Server Side Public License in 2021, impacting costs. It offers scalable search and analytics suitable for various monitoring and performance applications, with some proprietary features behind a paid license.
Upcoming conferences
Set a reminder for these upcoming, highly-anticipated search technology events. They are ideal opportunities to connect with leading experts and participate in debates.
Berlin Buzzwords - 09-13 June 2024
https://2024.berlinbuzzwords.de/
Haystack US - 22-24 April 2024
https://haystackconf.com/
Latest releases
Stay up-to-date with the latest releases of search engines:
Apache Solr 9.4.0 (Oct 15, 2023)
Info | Download | Docker
Elasticsearch 8.11.3 (Dec 12, 2023)
Info | Download | Docker
Opensearch 2.11.1 (Nov 29, 2023)
Info | Download | Docker